Evidence map›Paper›PMID 27350763›Full record

ArticleAdvances in medical education and practice2016

Investigating the psychometric properties of the Jefferson Scale of Physician Empathy in a sample of Malaysian medical students.

Marija Spasenoska, Shane Costello, Brett Williams

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Marija SpasenoskaFaculty of Education, Monash University, Melbourne, VIC, Australia.
Shane CostelloFaculty of Education, Monash University, Melbourne, VIC, Australia.
Brett WilliamsDepartment of Community Emergency Health and Paramedic Practice, Monash University, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this present study was to investigate the psychometric properties of the Jefferson Scale of Physician Empathy - student version (JSPE-S). SUBJECTS AND

methodsThis study recruited 193 Malaysian medical students enrolled in year one and year two studies. A principal-component analysis with Varimax rotation was conducted. Procrustes rotation was used to confirm the item to model fit, which allows for a comparison of actual structure against an ideal hypothesized structure. Items were systematically removed based on low communalities of < 0.3 and poor loading of items onto components.

resultsA two-component solution was found, comprised of "perspective taking" and "compassionate care". Following item removal, eleven items remained. A Procrustes analysis revealed that this eleven-item measure demonstrated an excellent model fit. A possible third component was identified, though is not recommended for use, due to construct underrepresentation.

conclusionThis study found the Jefferson Scale of Physician Empathy fitted best to a two-component model using eleven items. Item, component, and overall congruence were very high, and scale reliabilities were adequate. The results of this study suggest that the eleven-item, two-component solution demonstrates excellent psychometric properties and structural validity in a Malaysian medical student population. Future research could consider using the short eleven-item measure in both student and health care profession samples to investigate the role of empathy in health care.

Indexed as

empathymedical studentspsychometrics

Identifiers

PMID27350763
PMCPMC4902141

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.